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Process Japanese resignation letters with precision. Extract the document submission date (teishutsubi), planned departure date (taishokubi), employee name, and department (shozoku).
taishokutodoke-suzuki.pdf
Viewer
JSON
document_type
Taishokutodoke
teishutsu_bi
2024-07-01
jugyoin
shimei: Tanaka Hiroshi, shain_bango: EMP-2019-0456, shozoku: Engineering Division, yakushoku: Senior Engineer
taishoku
kibou_bi: 2024-07-31, riyu: Career change, yotei_saishusshukkin_bi: 2024-07-28
kaisha
meisho: Tech Japan K.K., jusho: Shibuya-ku, Tokyo
teishutsubi
2024-03-01
taishokubi
2024-03-31
employee_name
Suzuki Ichiro
shozoku
Sales Division
taishokutodoke-suzuki.pdf
Viewer
JSON
document_type
Taishokutodoke
teishutsu_bi
2024-07-01
jugyoin
shimei: Tanaka Hiroshi, shain_bango: EMP-2019-0456, shozoku: Engineering Division, yakushoku: Senior Engineer
taishoku
kibou_bi: 2024-07-31, riyu: Career change, yotei_saishusshukkin_bi: 2024-07-28
kaisha
meisho: Tech Japan K.K., jusho: Shibuya-ku, Tokyo
teishutsubi
2024-03-01
taishokubi
2024-03-31
employee_name
Suzuki Ichiro
shozoku
Sales Division
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| Feature | DocuPipe | Textract | Google OCR | GPT |
|---|---|---|---|---|
| OCR printed text | ||||
| Handle simple tables | ||||
| Handle long documents | ||||
| OCR handwriting | ||||
| Nested tables | ||||
| Complex forms | ||||
| Crossed out text | ||||
| Support for 60+ languages | ||||
| AI document standardization | ||||
| Speed | ||||
| Document type classification | ||||
| Document Splitting | ||||
| Highlight information source on document | ||||
| Visual Review |





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